Systems and methods for predicting mental health conditions based on passive processing of conversational speech and language

A system for scoring surveys based on a conversation, the system comprising:

• at least one input device for receiving conversation data from at least one user;
• at least one output device for outputting an electronic report;
• at least one computing device in communication with the at least one input device and the at least one output device, the at least one computing device configured to:
• receive the conversation data from the at least one input device;
• process the conversation data to generate a language model output, wherein the language model output comprises an identification of at least one query based on conversation data from an agent and at least one response to the at least one query based on the conversation data from a patient, wherein the at least one query is mapped onto a predefined query and the at least one response to the at least one query is mapped onto a predefined response to the predefined query;
• and
• generate an electronic report;
• and
• transmit the electronic report to the output device.

A system for predicting a severity of at least one symptom of a behavioral or mental health condition of a subject, the system comprising:

• at least one input device for receiving conversation data from the subject;
• at least one computing device in communication with the at least one input device, the at least one computing device configured to:
• receive in-context learning comprising an explanation related to one or more questions of a questionnaire;
• receive the conversation data from the at least one input device;
• predict the severity of the at least one symptom of the behavioral or mental health condition of the subject based on the in-context learning and the conversation data.